Triple
T20547648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NEET-PG |
E504512
|
entity |
| Predicate | examCategory |
P140506
|
FINISHED |
| Object | entrance examination for MD/MS/PG Diploma |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: entrance examination for MD/MS/PG Diploma | Statement: [NEET-PG, examCategory, entrance examination for MD/MS/PG Diploma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examCategory Context triple: [NEET-PG, examCategory, entrance examination for MD/MS/PG Diploma]
-
A.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
examSystem
Indicates a relationship where an entity functions as or belongs to an examination system, such as a framework or platform for creating, administering, or managing exams.
-
C.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
D.
examContentArea
Indicates that an exam includes or focuses on a particular content area or subject domain.
-
E.
entranceExam
Indicates that an entity is required to pass or participate in an entrance examination as a condition for admission or access to another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2991ac8819089b8c2d70eb88952 |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:38 a.m.